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Testing Multiple Conceptualizations of Oppositional Defiant Disorder in Youth
Thomas H Ollendick1, Jordan A Booker2, Sarah Ryan1
1a Child Study Center, Department of Psychology , Virginia Tech.
Oppositional defiant disorder (ODD) is best understood as having two dimensions: affective and behavioral. Improvements in both ODD dimensions significantly predicted better clinical outcomes for clinic-referred youth.
Area of Science:
- Child and Adolescent Psychiatry
- Psychology
- Behavioral Science
Background:
- Oppositional defiant disorder (ODD) is increasingly conceptualized as a two-dimensional construct.
- These dimensions include affective (angry/irritable) and behavioral (argumentative/defiant) components.
- Previous research supported this view in nonreferred youth, but not in clinic-referred populations.
Purpose of the Study:
- To examine multidimensional conceptualizations of ODD in clinic-referred youth.
- To assess treatment-related improvements across ODD dimensions.
- To determine if improvements in ODD dimensions predict clinical outcomes.
Main Methods:
- Reanalysis of data from 134 clinic-referred youth (ages 7-14) with ODD receiving psychosocial treatment.
- Assessment of ODD symptoms, aggression, conduct problems, and clinical impairment at pretreatment, 1-week, and 6-month follow-ups.
- Testing of one- and two-factor ODD models using baseline symptom data.
Main Results:
- Both one- and two-factor ODD conceptualizations were supported, with the two-factor model being preferred.
- Significant and similar improvements were observed across both affective and behavioral ODD dimensions.
- Improvements in both ODD dimensions significantly predicted clinician- and mother-reported clinical outcomes.
Conclusions:
- The findings support the two-dimensional, multidimensional conceptualization of ODD in clinic-referred youth.
- Treatment interventions should consider both affective and behavioral components of ODD for improved outcomes.
- Further research into multidimensional ODD models is warranted for clinical populations.
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